A Two-Phase Optimal Mass Transportation Technique for 3D Brain Tumor Detection and Segmentation

Author:

Lin Wen-Wei,Li Tiexiang,Huang Tsung-MingORCID,Lin Jia-Wei,Yueh Mei-Heng,Yau Shing-Tung

Publisher

Springer International Publishing

Reference18 articles.

1. Antonelli, M., et al.: The Medical Segmentation Decathlon (2021). http://medicaldecathlon.com/. 2106.05735

2. Simpson, A.L., et al.: A large annotated medical image dataset for the development and evaluation of segmentation algorithms. arXiv 1902.09063 [cs.CV] (2019). http://arxiv.org/abs/1902.09063. 1902.09063

3. Bakas, S., et al.: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci. Data 4, 170117 (2017)

4. Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge (2019). 1811.02629

5. Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imag. 34, 1993–2024 (2015)

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